Lattice coding for signals and networks: a structured coding approach to quantization, modulation, and multi-user information theory
Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered q...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2014
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Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xx, 437 pages) |
ISBN: | 9781139045520 |
DOI: | 10.1017/CBO9781139045520 |
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505 | 8 | |a 1. Introduction -- 2. Lattices -- 3. Figures of merit -- 4. Dithering and estimation -- 5. Entropy-coded quantization -- 6. Infinite constellation for modulation -- 7. Asymptotic goodness -- 8. Nested lattices -- 9. Lattice shaping -- 10. Side-information problems -- 11. Modulo-lattice modulation -- 12. Gaussian networks -- 13. Error exponents | |
520 | |a Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks | ||
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Datensatz im Suchindex
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author | Zamir, Ram |
author_facet | Zamir, Ram |
author_role | aut |
author_sort | Zamir, Ram |
author_variant | r z rz |
building | Verbundindex |
bvnumber | BV043945647 |
classification_rvk | SK 170 ZN 6045 |
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contents | 1. Introduction -- 2. Lattices -- 3. Figures of merit -- 4. Dithering and estimation -- 5. Entropy-coded quantization -- 6. Infinite constellation for modulation -- 7. Asymptotic goodness -- 8. Nested lattices -- 9. Lattice shaping -- 10. Side-information problems -- 11. Modulo-lattice modulation -- 12. Gaussian networks -- 13. Error exponents |
ctrlnum | (ZDB-20-CBO)CR9781139045520 (OCoLC)894732665 (DE-599)BVBBV043945647 |
dewey-full | 003/.54 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 003 - Systems |
dewey-raw | 003/.54 |
dewey-search | 003/.54 |
dewey-sort | 13 254 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1017/CBO9781139045520 |
format | Electronic eBook |
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indexdate | 2024-07-10T07:39:24Z |
institution | BVB |
isbn | 9781139045520 |
language | English |
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spelling | Zamir, Ram Verfasser aut Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory Ram Zamir, Tel Aviv University Lattice Coding for Signals & Networks Cambridge Cambridge University Press 2014 1 online resource (xx, 437 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 1. Introduction -- 2. Lattices -- 3. Figures of merit -- 4. Dithering and estimation -- 5. Entropy-coded quantization -- 6. Infinite constellation for modulation -- 7. Asymptotic goodness -- 8. Nested lattices -- 9. Lattice shaping -- 10. Side-information problems -- 11. Modulo-lattice modulation -- 12. Gaussian networks -- 13. Error exponents Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks Mathematik Coding theory Signal processing / Mathematics Lattice theory Gitter Mathematik (DE-588)4157375-4 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 s Gitter Mathematik (DE-588)4157375-4 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-76698-2 https://doi.org/10.1017/CBO9781139045520 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Zamir, Ram Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory 1. Introduction -- 2. Lattices -- 3. Figures of merit -- 4. Dithering and estimation -- 5. Entropy-coded quantization -- 6. Infinite constellation for modulation -- 7. Asymptotic goodness -- 8. Nested lattices -- 9. Lattice shaping -- 10. Side-information problems -- 11. Modulo-lattice modulation -- 12. Gaussian networks -- 13. Error exponents Mathematik Coding theory Signal processing / Mathematics Lattice theory Gitter Mathematik (DE-588)4157375-4 gnd Codierungstheorie (DE-588)4139405-7 gnd |
subject_GND | (DE-588)4157375-4 (DE-588)4139405-7 |
title | Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory |
title_alt | Lattice Coding for Signals & Networks |
title_auth | Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory |
title_exact_search | Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory |
title_full | Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory Ram Zamir, Tel Aviv University |
title_fullStr | Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory Ram Zamir, Tel Aviv University |
title_full_unstemmed | Lattice coding for signals and networks a structured coding approach to quantization, modulation, and multi-user information theory Ram Zamir, Tel Aviv University |
title_short | Lattice coding for signals and networks |
title_sort | lattice coding for signals and networks a structured coding approach to quantization modulation and multi user information theory |
title_sub | a structured coding approach to quantization, modulation, and multi-user information theory |
topic | Mathematik Coding theory Signal processing / Mathematics Lattice theory Gitter Mathematik (DE-588)4157375-4 gnd Codierungstheorie (DE-588)4139405-7 gnd |
topic_facet | Mathematik Coding theory Signal processing / Mathematics Lattice theory Gitter Mathematik Codierungstheorie |
url | https://doi.org/10.1017/CBO9781139045520 |
work_keys_str_mv | AT zamirram latticecodingforsignalsandnetworksastructuredcodingapproachtoquantizationmodulationandmultiuserinformationtheory AT zamirram latticecodingforsignalsnetworks |